CN111980858A - Self-adaptive control method and control system for increasing power and improving efficiency of wind generating set - Google Patents

Self-adaptive control method and control system for increasing power and improving efficiency of wind generating set Download PDF

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Publication number
CN111980858A
CN111980858A CN202010964145.9A CN202010964145A CN111980858A CN 111980858 A CN111980858 A CN 111980858A CN 202010964145 A CN202010964145 A CN 202010964145A CN 111980858 A CN111980858 A CN 111980858A
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China
Prior art keywords
wind
yaw
power
wind turbine
starting
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Pending
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CN202010964145.9A
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Chinese (zh)
Inventor
何国华
杜炜
曹鹏
杜洋
黄健
周庆
杨晓婷
文华
周迎九
潘振东
张华炼
杨建�
熊圣新
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CSIC Haizhuang Windpower Co Ltd
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CSIC Haizhuang Windpower Co Ltd
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Priority to CN202010964145.9A priority Critical patent/CN111980858A/en
Publication of CN111980858A publication Critical patent/CN111980858A/en
Pending legal-status Critical Current

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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D7/00Controlling wind motors 
    • F03D7/02Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor
    • F03D7/026Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor for starting-up
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D7/00Controlling wind motors 
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D7/00Controlling wind motors 
    • F03D7/02Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor
    • F03D7/0204Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor for orientation in relation to wind direction
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D7/00Controlling wind motors 
    • F03D7/02Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor
    • F03D7/04Automatic control; Regulation
    • F03D7/042Automatic control; Regulation by means of an electrical or electronic controller
    • F03D7/043Automatic control; Regulation by means of an electrical or electronic controller characterised by the type of control logic
    • F03D7/046Automatic control; Regulation by means of an electrical or electronic controller characterised by the type of control logic with learning or adaptive control, e.g. self-tuning, fuzzy logic or neural network
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05BINDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00Control
    • F05B2270/30Control parameters, e.g. input parameters
    • F05B2270/32Wind speeds
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05BINDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00Control
    • F05B2270/30Control parameters, e.g. input parameters
    • F05B2270/321Wind directions
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/72Wind turbines with rotation axis in wind direction

Abstract

The invention provides a power-increasing effect-increasing self-adaptive control method for a wind generating set, which comprises the following steps of: reading and analyzing historical operating data in an SCADA (supervisory control and data acquisition) database to obtain a starting control parameter of the wind turbine generator; reading and analyzing historical operating data in an SCADA database to obtain a yaw control parameter of the wind turbine generator; and transmitting the starting control parameters and the yaw control parameters to a wind turbine control system so that the wind turbine control system can execute wind turbine starting control and yaw control based on the starting control parameters and the yaw control parameters after reading the real-time wind speed and wind direction information of a wind field. The invention increases the power generation time of the wind turbine generator, improves the yaw wind alignment precision of the wind turbine generator and improves the generated energy of the wind turbine generator.

Description

Self-adaptive control method and control system for increasing power and improving efficiency of wind generating set
Technical Field
The invention relates to the technical field of wind power generation, in particular to a power-increasing and effect-improving self-adaptive control method and a control system for a wind generating set.
Background
The wind precision and the power generation time of the wind generating set are closely related to the power generation capacity of the wind generating set. The wind power generator set has the advantages that the higher the wind precision is, the longer the power generation time is, the more the wind energy is absorbed, and the higher the power generation amount is.
At present, the wind turbine generator yaw structure and the measuring system are complex, so that the wind alignment precision is low.
In addition, when the cut-in wind speed of the wind generating set is constant, the lower the cut-in wind speed is, the larger the wind speed range capable of generating electricity is, the longer the electricity generation time is, but the electricity generation power is lower than the self-consumption condition, which results in negative income of electricity; the higher the cut-in wind speed is, the smaller the wind speed range in which power generation is possible is, and the shorter the power generation time is, and thus wind energy may be wasted. The cut-in wind speed refers to the wind speed reaching the grid-connected condition, namely the lowest wind speed capable of generating electricity, and the wind speed is lower than the wind speed and can be automatically stopped; the cut-out wind speed refers to the maximum wind speed of the wind generating set in grid-connected power generation, and when the wind speed exceeds the maximum wind speed, the wind generating set is cut out from a power grid, namely a fan stops and power generation is stopped. If the wind speed is cut out, the wind turbine is not cut out, and the risk of accidents such as tower collapse and impeller runaway can be caused. At present, the calculation of the cut-in wind speed of a fan is mainly realized through long-term field experiments, time and labor are wasted, and an effective wind speed result is difficult to obtain.
Aiming at the two situations, real-time correction is needed according to the actual operation situation of the wind turbine generator, and the generating capacity of the wind turbine generator is improved as much as possible.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a power-increasing and efficiency-improving self-adaptive control method and a control system for a wind generating set, which aim to solve the technical problems that the wind precision of the existing wind generating set is low, and the calculation method of the cut-in wind speed of the existing fan wastes time and labor.
In order to achieve the purpose, the invention is realized by the following technical scheme:
a hydraulic control system of a wind generating set comprises the following steps:
reading and analyzing historical operating data in an SCADA (supervisory control and data acquisition) database to obtain a starting control parameter of the wind turbine generator;
reading and analyzing historical operating data in an SCADA database to obtain a yaw control parameter of the wind turbine generator;
and transmitting the starting control parameters and the yaw control parameters to a wind turbine control system so that the wind turbine control system can execute wind turbine starting control and yaw control based on the starting control parameters and the yaw control parameters after reading the real-time wind speed and wind direction information of a wind field.
Optionally, the reading and analyzing historical operating data in the SCADA database to obtain the wind turbine starting control parameter includes:
and analyzing at least historical wind speed, wind direction, rotating speed, power and self-consumed electric power, and calculating the optimal cut-in wind speed on the basis that the power-self-consumed electric power of the power generation system is greater than 0.
Optionally, the reading and analyzing historical operating data in the SCADA database to obtain the yaw control parameter of the wind turbine generator includes:
and analyzing at least historical wind speed, wind direction, rotating speed, power and variable pitch angle, and calculating a yaw fixed deviation value and yaw starting/stopping parameters.
A self-adaptive control system for increasing power and improving efficiency of a wind generating set comprises:
the starting processing unit is used for reading and analyzing historical operating data in the SCADA database to obtain a wind turbine starting control parameter;
the yaw processing unit is used for reading and analyzing historical operating data in the SCADA database to obtain yaw control parameters of the wind turbine generator;
and the communication unit is used for transmitting the starting control parameters and the yaw control parameters to the wind turbine control system, so that the wind turbine control system can execute the starting control and the yaw control of the wind turbine based on the starting control parameters and the yaw control parameters after reading the real-time wind speed and wind direction information of a wind field.
Optionally, the start-up processing unit analyzes at least the historical wind speed, the wind direction, the rotation speed, the power and the self-consumed power, and calculates the optimal cut-in wind speed on the basis that the power-self-consumed power of the power generation system is greater than 0.
Optionally, the yaw processing unit analyzes at least the historical wind speed, the wind direction, the rotating speed, the power and the pitch angle, and calculates a yaw fixed deviation value and yaw start/stop parameters.
Optionally, a display unit is further included for displaying the start-up control parameter and the yaw control parameter.
Optionally, the system further comprises a built-in UPS power supply for supplying power to each unit of the adaptive control system when the external power supply is interrupted.
According to the technical scheme, the invention has the beneficial effects that:
on one hand, the invention provides a power-increasing effect-improving self-adaptive control method for a wind generating set, which comprises the following steps: reading and analyzing historical operating data in an SCADA (supervisory control and data acquisition) database to obtain a starting control parameter of the wind turbine generator; reading and analyzing historical operating data in an SCADA database to obtain a yaw control parameter of the wind turbine generator; and transmitting the starting control parameters and the yaw control parameters to a wind turbine control system so that the wind turbine control system can execute wind turbine starting control and yaw control based on the starting control parameters and the yaw control parameters after reading the real-time wind speed and wind direction information of a wind field. The invention increases the power generation time of the wind turbine generator, improves the yaw wind alignment precision of the wind turbine generator and improves the generated energy of the wind turbine generator.
On the other hand, the invention provides a power-increasing effect-increasing adaptive control system for a wind generating set, which comprises the following components: the starting processing unit is used for reading and analyzing historical operating data in the SCADA database to obtain a wind turbine starting control parameter; the yaw processing unit is used for reading and analyzing historical operating data in the SCADA database to obtain yaw control parameters of the wind turbine generator; and the communication unit is used for transmitting the starting control parameters and the yaw control parameters to the wind turbine control system, so that the wind turbine control system can execute the starting control and the yaw control of the wind turbine based on the starting control parameters and the yaw control parameters after reading the real-time wind speed and wind direction information of a wind field. The invention increases the power generation time of the wind turbine generator, improves the yaw wind alignment precision of the wind turbine generator and improves the generated energy of the wind turbine generator.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
FIG. 1 is a correlation diagram of a power-increasing effect-improving adaptive control system of a wind generating set;
FIG. 2 is a general architecture diagram of a power-increasing and efficiency-increasing adaptive control system of a wind turbine generator system;
FIG. 3 is a schematic diagram of the operation principle and the output result of the start processing unit;
fig. 4 is a schematic diagram of the working principle and the output result of the yaw processing unit.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby.
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
The invention provides a power increasing and effect improving self-adaptive control method for a wind generating set, which comprises the following steps of:
reading and analyzing historical operation data in an SCADA (supervisory control and data acquisition) database to obtain starting control parameters of the wind turbine generator, specifically analyzing historical operation data such as at least historical wind speed, wind direction, rotating speed, power, self-consumed electric power and the like, and calculating the optimal cut-in wind speed on the basis that the power-self-consumed electric power of a power generation system is greater than 0;
reading and analyzing historical operating data in an SCADA (supervisory control and data acquisition) database to obtain a yaw control parameter of the wind turbine generator, specifically analyzing historical operating data such as at least historical wind speed, wind direction, rotating speed, power, variable pitch angle and the like, and calculating a yaw fixed deviation value and yaw starting/stopping parameters;
and transmitting the starting control parameters and the yaw control parameters to a wind turbine control system, so that the wind turbine control system executes wind turbine starting control and yaw control based on the starting control parameters and the yaw control parameters after reading real-time wind speed and wind direction information of a wind field, and performs yaw automatic calibration.
Referring to fig. 1-2, the present invention provides a power-increasing and efficiency-increasing adaptive control system for a wind turbine generator system, which includes:
the starting processing unit is used for reading and analyzing historical operating data in the SCADA database to obtain a wind turbine starting control parameter;
the yaw processing unit is used for reading and analyzing historical operating data in the SCADA database to obtain yaw control parameters of the wind turbine generator;
and the communication unit is used for transmitting the starting control parameters and the yaw control parameters to the wind turbine control system, so that the wind turbine control system can execute the starting control and the yaw control of the wind turbine based on the starting control parameters and the yaw control parameters after reading the real-time wind speed and wind direction information of a wind field.
As a further improvement to the above solution, the start-up processing unit analyzes at least the historical wind speed, the wind direction, the rotational speed, the power and the consumable electrical power, and calculates the optimal cut-in wind speed on the basis that the power generation system power-consumable electrical power > 0.
As a further improvement of the scheme, the yaw processing unit at least analyzes historical wind speed, wind direction, rotating speed, power and variable pitch angle and calculates a yaw fixed deviation value and yaw starting/stopping parameters. The calculation rule is as follows:
1) carrying out power binning according to the wind direction, wherein the wind direction angle of the optimal power curve is the inherent yaw deviation;
2) the yaw energy consumption cost (power consumption, yaw service life loss) < the gain of power increase, and the yaw is carried out;
3) the response time of the yaw stop action, in combination with the yaw speed, infers the yaw stop condition.
As a further improvement to the above scheme, the power-increasing and efficiency-increasing adaptive control system of the wind generating set further includes a display unit for displaying the start control parameter and the yaw control parameter.
As a further improvement of the above scheme, the adaptive control system for increasing power and increasing efficiency of the wind generating set further comprises a built-in UPS power supply for supplying power to each unit of the adaptive control system when external power supply is interrupted.
In a specific embodiment, a power-increasing efficiency-raising adaptive Control system is designed, which is independent of an SCADA (Supervisory Control And Data Acquisition, i.e., Data Acquisition And monitoring Control system) And a wind turbine generator system Control system. The self-adaptive control system at least comprises a starting processing unit and a yaw processing unit, automatically reads historical operating data in an SCADA database, analyzes the historical operating data, obtains optimal starting control parameters and yaw control parameters, automatically displays the optimal starting control parameters and yaw control parameters on a display, automatically implants a wind turbine generator control system, and executes starting control and yaw control by the wind turbine generator control system and automatically calibrates yaw. According to the method, the minimum cut-in wind speed for ensuring the operation of the wind turbine generator is calculated, so that the power generation time of the wind turbine generator is prolonged, the yaw wind alignment precision of the wind turbine generator is improved, and the power generation capacity of the wind turbine generator is improved.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.

Claims (8)

1. A self-adaptive control method for increasing power and improving efficiency of a wind generating set is characterized by comprising the following steps:
reading and analyzing historical operating data in an SCADA (supervisory control and data acquisition) database to obtain a starting control parameter of the wind turbine generator;
reading and analyzing historical operating data in an SCADA database to obtain a yaw control parameter of the wind turbine generator;
and transmitting the starting control parameters and the yaw control parameters to a wind turbine control system so that the wind turbine control system can execute wind turbine starting control and yaw control based on the starting control parameters and the yaw control parameters after reading the real-time wind speed and wind direction information of a wind field.
2. The self-adaptive control method for increasing power and improving efficiency of the wind generating set according to claim 1, wherein the step of reading and analyzing historical operating data in an SCADA database to obtain starting control parameters of the wind generating set comprises the following steps:
and analyzing at least historical wind speed, wind direction, rotating speed, power and self-consumed electric power, and calculating the optimal cut-in wind speed on the basis that the power-self-consumed electric power of the power generation system is greater than 0.
3. The self-adaptive control method for increasing power and improving efficiency of the wind generating set according to claim 1, wherein the step of reading and analyzing historical operating data in an SCADA database to obtain yaw control parameters of the wind generating set comprises the following steps:
and analyzing at least historical wind speed, wind direction, rotating speed, power and variable pitch angle, and calculating a yaw fixed deviation value and yaw starting/stopping parameters.
4. A self-adaptive control system for increasing power and improving efficiency of a wind generating set is characterized by comprising:
the starting processing unit is used for reading and analyzing historical operating data in the SCADA database to obtain a wind turbine starting control parameter;
the yaw processing unit is used for reading and analyzing historical operating data in the SCADA database to obtain yaw control parameters of the wind turbine generator;
and the communication unit is used for transmitting the starting control parameters and the yaw control parameters to the wind turbine control system, so that the wind turbine control system can execute the starting control and the yaw control of the wind turbine based on the starting control parameters and the yaw control parameters after reading the real-time wind speed and wind direction information of a wind field.
5. The adaptive control system for increasing power and increasing efficiency of the wind generating set according to claim 4, wherein the starting processing unit analyzes at least historical wind speed, wind direction, rotating speed, power and self-consumed electric power and calculates the optimal cut-in wind speed on the basis that the power-self-consumed electric power of the generating system is greater than 0.
6. The adaptive control system for increasing power and improving efficiency of the wind generating set according to claim 4, wherein the yaw processing unit analyzes at least historical wind speed, wind direction, rotating speed, power and pitch angle to calculate a yaw fixed deviation value and yaw start/stop parameters.
7. The adaptive control system for increasing power and improving efficiency of the wind generating set according to any one of claims 4 to 6, characterized by further comprising:
and the display unit is used for displaying the starting control parameter and the yaw control parameter.
8. The power-increasing effect-improving adaptive control system of the wind generating set according to claim 7, characterized by further comprising:
and the built-in UPS power supply is used for supplying power to each unit of the self-adaptive control system when the external power supply is interrupted.
CN202010964145.9A 2020-09-15 2020-09-15 Self-adaptive control method and control system for increasing power and improving efficiency of wind generating set Pending CN111980858A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112610427A (en) * 2020-12-18 2021-04-06 太原重工股份有限公司 Intelligent zero degree calibration method for blades of wind generating set
CN116993026A (en) * 2023-09-26 2023-11-03 无锡九方科技有限公司 Large-scale wind power plant unit operation parameter optimization method

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Publication number Priority date Publication date Assignee Title
CN112610427A (en) * 2020-12-18 2021-04-06 太原重工股份有限公司 Intelligent zero degree calibration method for blades of wind generating set
CN112610427B (en) * 2020-12-18 2021-11-23 太原重工股份有限公司 Intelligent zero degree calibration method for blades of wind generating set
CN116993026A (en) * 2023-09-26 2023-11-03 无锡九方科技有限公司 Large-scale wind power plant unit operation parameter optimization method
CN116993026B (en) * 2023-09-26 2023-12-19 无锡九方科技有限公司 Large-scale wind power plant unit operation parameter optimization method

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